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2020 – today
- 2024
[j14]Filip Tronarp, Toni Karvonen
:
Orthonormal expansions for translation-invariant kernels. J. Approx. Theory 302: 106055 (2024)- [j13]Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä:
Parallel-in-Time Probabilistic Numerical ODE Solvers. J. Mach. Learn. Res. 25: 206:1-206:27 (2024) - [c20]Filip Tronarp:
Numerically Robust Square Root Implementations of Statistical Linear Regression Filters and Smoothers. EUSIPCO 2024: 2597-2601 - [c19]Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger:
Probabilistic ODE solvers for integration error-aware numerical optimal control. L4DC 2024: 1018-1032 - [i15]Filip Tronarp:
Numerically robust square root implementations of statistical linear regression filters and smoothers. CoRR abs/2406.05188 (2024) - 2023
- [j12]Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A probabilistic Taylor expansion with Gaussian processes. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Probabilistic Exponential Integrators. NeurIPS 2023 - [c17]Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp:
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions. NeurIPS 2023 - [i14]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Probabilistic Exponential Integrators. CoRR abs/2305.14978 (2023) - [i13]Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp:
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions. CoRR abs/2306.07774 (2023) - [i12]Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä:
Parallel-in-Time Probabilistic Numerical ODE Solvers. CoRR abs/2310.01145 (2023) - [i11]Tony Stillfjord, Filip Tronarp:
Computing the matrix exponential and the Cholesky factor of a related finite horizon Gramian. CoRR abs/2310.13462 (2023) - 2022
- [c16]Nathanael Bosch, Filip Tronarp, Philipp Hennig:
Pick-and-Mix Information Operators for Probabilistic ODE Solvers. AISTATS 2022: 10015-10027 - [c15]Filip Tronarp, Simo Särkkä:
Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space. FUSION 2022: 1-8 - [c14]Filip Tronarp, Nathanael Bosch, Philipp Hennig:
Fenrir: Physics-Enhanced Regression for Initial Value Problems. ICML 2022: 21776-21794 - [i10]Filip Tronarp, Nathanael Bosch, Philipp Hennig:
Fenrir: Physics-Enhanced Regression for Initial Value Problems. CoRR abs/2202.01287 (2022) - [i9]Filip Tronarp, Toni Karvonen:
Orthonormal Expansions for Translation-Invariant Kernels. CoRR abs/2206.08648 (2022) - 2021
- [j11]Filip Tronarp, Simo Särkkä, Philipp Hennig:
Bayesian ODE solvers: the maximum a posteriori estimate. Stat. Comput. 31(3): 23 (2021) - [c13]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Calibrated Adaptive Probabilistic ODE Solvers. AISTATS 2021: 3466-3474 - [i8]Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. CoRR abs/2102.00877 (2021) - [i7]Nathanael Bosch, Filip Tronarp, Philipp Hennig:
Pick-and-Mix Information Operators for Probabilistic ODE Solvers. CoRR abs/2110.10770 (2021) - 2020
- [j10]Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä:
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions. SIAM/ASA J. Uncertain. Quantification 8(3): 926-958 (2020) - [j9]Roland Hostettler, Filip Tronarp, Ángel F. García-Fernández, Simo Särkkä:
Importance Densities for Particle Filtering Using Iterated Conditional Expectations. IEEE Signal Process. Lett. 27: 211-215 (2020) - [j8]Rui Gao, Filip Tronarp, Simo Särkkä:
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes. IEEE Signal Process. Lett. 27: 1305-1309 (2020) - [c12]Zheng Zhao, Filip Tronarp, Roland Hostettler, Simo Särkkä:
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. ICASSP 2020: 5295-5299 - [i6]Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä:
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions. CoRR abs/2001.10965 (2020) - [i5]Filip Tronarp, Simo Särkkä, Philipp Hennig:
Bayesian ODE Solvers: The Maximum A Posteriori Estimate. CoRR abs/2004.00623 (2020) - [i4]Rui Gao, Filip Tronarp, Simo Särkkä:
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes. CoRR abs/2005.08275 (2020) - [i3]Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Calibrated Adaptive Probabilistic ODE Solvers. CoRR abs/2012.08202 (2020)
2010 – 2019
- 2019
- [j7]Filip Tronarp, Hans Kersting, Simo Särkkä, Philipp Hennig:
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective. Stat. Comput. 29(6): 1297-1315 (2019) - [j6]Filip Tronarp, Simo Särkkä:
Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems. Signal Process. 159: 1-12 (2019) - [j5]Filip Tronarp, Toni Karvonen, Simo Särkkä:
Student's $t$-Filters for Noise Scale Estimation. IEEE Signal Process. Lett. 26(2): 352-356 (2019) - [j4]Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä:
Gaussian Process Classification Using Posterior Linearization. IEEE Signal Process. Lett. 26(5): 735-739 (2019) - [j3]Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä:
Gaussian Target Tracking With Direction-of-Arrival von Mises-Fisher Measurements. IEEE Trans. Signal Process. 67(11): 2960-2972 (2019) - [j2]Rui Gao, Filip Tronarp, Simo Särkkä:
Iterated Extended Kalman Smoother-Based Variable Splitting for L1-Regularized State Estimation. IEEE Trans. Signal Process. 67(19): 5078-5092 (2019) - [c11]Roland Hostettler, Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä:
Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization. FUSION 2019: 1-8 - [c10]Filip Tronarp, Simo Särkkä:
Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities. ICASSP 2019: 5032-5036 - [c9]Rui Gao, Filip Tronarp, Zheng Zhao, Simo Särkkä:
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method. MLSP 2019: 1-6 - [c8]Toni Karvonen, Filip Tronarp, Simo Särkkä:
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior. MLSP 2019: 1-6 - [i2]Rui Gao, Filip Tronarp, Simo Särkkä:
Iterated Extended Kalman Smoother-based Variable Splitting for L1-Regularized State Estimation. CoRR abs/1903.08605 (2019) - 2018
- [j1]Filip Tronarp, Ángel F. García-Fernández, Simo Särkkä:
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments. IEEE Signal Process. Lett. 25(3): 408-412 (2018) - [c7]Filip Tronarp, Narayan Puthanmadam Subramaniyam, Simo Särkkä, Lauri Parkkonen:
Tracking of dynamic functional connectivity from MEG data with Kalman filtering. EMBC 2018: 1003-1006 - [c6]Rui Gao, Filip Tronarp, Simo Särkkä:
Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction. EUSIPCO 2018: 1930-1934 - [c5]Filip Tronarp, Simo Särkkä:
Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion. FUSION 2018: 1-8 - [c4]Filip Tronarp, Roland Hostettler, Simo Särkkä:
Continuous-Discrete von Mises-Fisher Filtering on S2 for Reference Vector Tracking. FUSION 2018: 1345-1352 - [c3]Filip Tronarp, Toni Karvonen, Simo Särkkä:
Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature. MLSP 2018: 1-6 - [i1]Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä:
Gaussian process classification using posterior linearisation. CoRR abs/1809.04967 (2018) - 2017
- [c2]Jakub Prüher, Filip Tronarp, Toni Karvonen, Simo Särkkä, Ondrej Straka:
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise. FUSION 2017: 1-8 - 2016
- [c1]Filip Tronarp, Roland Hostettler, Simo Särkkä:
Sigma-point filtering for nonlinear systems with non-additive heavy-tailed noise. FUSION 2016: 1859-1866
Coauthor Index
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